KOKKI: A New AI Architecture to Combat Hallucinations in Gemini
Analysis
This article introduces KOKKI, a novel self-auditing prompt engineering technique designed to reduce "hallucinations" in the Gemini 【Large Language Model (LLM)】. By implementing a dual-core architecture, KOKKI forces the 【Agent】 to critically evaluate its responses, leading to more reliable outputs and exciting possibilities for more trustworthy AI applications.
Key Takeaways
- •KOKKI employs a "Dual-Core Architecture" with an Agent and an Auditor.
- •The Auditor module critically examines the Agent's outputs, promoting self-correction.
- •The method was successfully used to write and publish a Kindle book.
Reference / Citation
View Original"This system virtually constructs two conflicting thought modules inside the AI: an 'Executor (Agent)' and an 'Auditor (Auditor)', forcing it to 'doubt its own answers and correct itself'."
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Zenn LLMFeb 8, 2026 05:07
* Cited for critical analysis under Article 32.